March 6, 2020 Sysmex Corporation The 17th R&D Meeting
March 6, 2020
Sysmex Corporation
The 17th R&D Meeting
■ The information contained in these materials is based on current judgements and assumptions of the Sysmex Group in light
of the information currently available to it. Uncertainties inherent in such judgments and assumptions, the future course of our
business operations and changes in operating environments in Japan and overseas may cause plans to change.
■ These materials contain information about products, service and support (including those under development). This
information is not intended for advertising or promotional purposes.
Index
1 Opening Presentation Hisashi IetsuguChairman and CEO
2 Technology Strategy Overview(1) Progress on Initiatives for the Realization of
Personalized Medicine
(2) Compact Immunoassay System and Initiatives
Targeting Coronavirus
3 Initiatives for the Realization of Personalized Medicine I
Kaoru AsanoMember of the Managing Board and
Senior Executive OfficerSenior Managing Director
COO LS Business Unit and CTO
Mamoru KubotaSenior Executive Officer
(1) Overview of Cancer Gene Testing in the LS Business
(2) Liquid Biopsy Gene Testing Initiatives
(3) Cancer Genomic Medicine Initiatives
Tomokazu YoshidaExecutive Officer
Executive Vice President of Central Research Laboratories(1) Initiatives Targeting Alzheimer’s Disease
(2) Applying Circulating Tumor Cells Measurement Technology
5 Technology Innovation in theIVD Business
Hiroshi KandaMember of the Managing Board and
Senior Executive OfficerManaging Director(1) Enhancing the Operational Value of Blood Coagulation Analyzers
(2) Applying Astrego’s Microchannel Technology
(3) Using AI Technology for Blood Imaging Analysis
Initiatives for the Realization of Personalized Medicine Ⅱ
4
(Appendix) Glossary
Hisashi Ietsugu, Chairman and CEO
1 Opening Presentation
Unique & Advanced Healthcare Testing Company
Long-Term Vision
・ An attractive company providing value and instilling confidence
・ A solution provider contributing to the advancement of primary care diagnostics
・ One Sysmex carrying out high-speed management
Positioning
Sysmex’s Long-Term Management Goals
Long-Term Management
Goals(2025)
Mid-Term Management Plan
(to March 2022)
・ A leading company in personalized diagnostics for optimizing medical treatment
・ Creating innovative diagnostic value as a global top-five company in IVD
4
Recognition of the External Environment
5
Changes in the
external
environment
Growth
fields
Developing countries
Emerging countries
Developed countries
Rising populations
Economic growth
Building of medical infrastructure
Epidemics of infectious disease
Falling birthrates and aging populations
Rapidly rising medical expenses
Technological innovation
Hematology, urinalysis, clinical chemistry, others
Hemostasis, immunochemistry, FCM, others
Business related to personalized medicine
Demographic changes and accelerating technological
innovation are giving rise to a host of medical issues and
growing markets to address these issues.
6
Acquire technologies
through open
innovation and M&A
Engineering technologies
•Mechanics
•Fluids
•Optics
•Electronics
Reagent development
technologies
•Chemical
reagents
•Bio reagents
•Data management
•Services and
support
ICT technologies
Sysmex’s Technologies
Improvements in testing productivity
Development of reagents with high clinical value
Network solutions providing more efficient healthcare and
enhanced services and support
OutputsTo medical institutions
in 190 countries
Environmentally considerate product development (energy conservation, other aspects)
OutcomesFor 7.0 billion
patients and people
undergoing
screening around
the world
Sysmex’s Technologies and Value Creation
Helping to realize a fulfilling and healthy society
through unique technologies
+
Contribution to the creation of new diagnostic and treatment
methods
Contribution to
extending
healthy lifespans
Help in curtailing
healthcare
expenses
Expanding Our R&D Bases
Techno Center (From 1991) Technopark (From 2008)
• Reinforce product development in the IVD business
• Start moving into the life science field
• Accelerate initiatives targeting personalized medicine
• Acquire diverse and specialized human resources and technologies
Reagents in environmentally conscious paper packs
Unique reagents for HISCL Series automated immunoassay systems
RD-200 gene amplification detector
XN Series multiparameter automated hematology analyzer
Technopark East Site (From 2019)
• Procure materials for, develop and produce bio-diagnostic reagents, and strengthen the logistics function
CN Series fully automated blood coagulation analyzer
OncoGuide NCC OncoPanel System
OncoBEAM RAS CRC kit
New network solution
Central Research Laboratories (2000)
Main building 40th anniversary of establishment 50th anniversary of establishment
7
IVD Business Life Science Business
Strengthening our R&D and technology bases, creating new products and services
Enhancing our R&D functions overseas, acquiring technologies through M&A, promoting open innovation
Automatic measurement
of red blood cells infected
by malaria parasites
Sysmex’s Growth Strategy
In addition to sustainable growth in the
IVD business, increase the rate of growth
by transforming our portfolio
Create new added value in the IVD domain
IVD business
Initiatives targeting personalized
medicine
⚫ Cancer genomic medicine
• BEAMing
• NCC OncoPanel
⚫ Liquid biopsy
• Alzheimer’s disease
• CTC
Innovations in the IVD business
⚫ Enhancing the Operational
Value of Blood Coagulation
Analyzers
⚫ Applying Astrego’s
Microchannel Technology
⚫ Using AI Technology for
Blood Imaging Analysis
Today’s agenda
Other new businesses
Life science business
Develop products and
services that contribute to
personalized medicine
Create new value that addresses
medical issues
8
Kaoru AsanoMember of the Managing Board and Senior Executive Officer,
Senior Managing Director,
COO LS Business Unit and CTO
2 Technology Strategy Overview
(1) Progress on Initiatives for the Realization of Personalized
Medicine
(2) Compact Immunoassay System and Initiatives Targeting
Coronavirus
10
Medicine
In vitro
diagnostics
(IVD)
Internal medical
treatment
(therapeutic drugs)Surgical
treatment
Health managementExpansion of technology
platforms centered on
liquid biopsy
Utilization of
technology assets
toward new medical
technologies
Expansion of product
portfolio for emerging
markets
Utilization of
testing data
Regenerative medicine / cell therapy / gene
therapy
Personalized
medicine
Preventive and preemptive medicine
Emerging markets
Technology Strategy Overview: The Healthcare Market
Minimally invasive sample collection of disease-
derived components in the blood (bodily fluid)Biopsy
Liquid biopsy
Invasive sample collection
of affected organ/tissue
Cells
Genes
Proteins
Technology Platform
Compared with conventional methods, liquid biopsy is in the spotlight
for its potential for imposing less of a burden on patients, increasing
opportunities for testing and helping to determine treatment methods
at an early stage.
Liquid Biopsy
Detection sensitivity: 100 to 1,000 times higher than conventional methods
11
12
Promote open innovation to develop applications with high clinical value and
place them on the technology platforms we have established
+
(2) Applications
Universities, medical and
research institutions,
pharmaceutical manufacturers
and venture companies
Biomarkers
(1) Technology platforms
Open Innovation
13
Super-resolution
microscope
Clinical PCR
Plasma-Safe-SeqS
OSNATM
(RD)
FCM(XN, UF, LC)
HISCLTM
MI-FCM (CTC)
Clinical sequencing Clinical FCM
Ultrahigh-sensitivity
HISCL
HISCLTM
MI-FCM (Flow FISH)HISCLTM
(new markers)
OncoBEAM3.0
Cell measurement
platform
Genemeasurement
platform
Protein measurement
platform
Leverage
proprietary liquid
biopsy
technology to
drive
personalized
medicine
Capture
potential
markets
Expand
existing
market
Established Technology Platforms
We have completed the establishment of technology platforms and are
promoting the development applications with a view toward commercialization.
NCC Oncopanel
OncoBEAMTM RAS CRC
Alzheimer’s diseaseBreast cancer CTC
Panel for hereditary retinal degenerative diseases
Compact
immunoassay
CS, CN
14
Application Launch Plans
Clinical PCR
OncoBEAM3.0
Plasma-Safe-SeqS
~2019.3 ~2020.3 ~2021.3
Gen
es
Head and neck cancer panel
✔ ✔Breast cancer panel
RAS
✔EGFR
Immunoassay
systems
Super-resolution
microscope
Pro
tein
s
HDL function
measurement
✔
Alzheimer’s disease
Clinical sequencing
~2022.3
As indicated at the 16th R&D Meeting (Mar. 2019)
● RUO ● LDT ● IVD ● Other Note: Dotted lines indicate expectations
Flow FISH
CTC system
Cells
Hematopoietic malignancies
Breast cancer
Colon cancer panel
Transplant
testing
Immune checkpoint inhibitors(PD-1, PD-L1, CTLA4)
(Fiscal years to March 31)
15
Application Launch Plans (Update)
✔ ✔Breast cancer panel
RAS
✔EGFR
✔Alzheimer’s
disease
NCC
Oncopanel
✔IRD panelGIMSNCC
Oncopanel
✔
4 Gene panel(EGFR, ALK, ROS1, BRAF)
✔
Hematopoietic
malignanciesMultiple
myeloma
✔
Clinical PCR
OncoBEAM3.0
Plasma-Safe-SeqS
Gen
es
Immunoassay
systems
Compact
immunoassay
Pro
tein
s
Clinical sequencing
● RUO ● LDT ● IVD ● Other Note: Dotted lines indicate expectations
Flow FISH
CTC system
Cells
Head and neck cancer panel
Colon cancer panel
HDL function
measurement
Immune checkpoint inhibitors(PD-1, PD-L1, CTLA4)
~2019.3 ~2020.3 ~2021.3 ~2022.3
(Fiscal years to March 31)
HDL function
Gynecology
biomarker
Special
biomarkers
Transplant
testing
NCC Oncopanel
(next version)Developmental
delay
✔
Breast cancer Prostate cancer
2 Technology Strategy Overview
(1) Progress on Initiatives for the Realization of Personalized
Medicine
(2) Compact Immunoassay System and Initiatives Targeting
Coronavirus
17
Compact Immunoassay System
Jointly developed products with JVCKENWOOD Corporation
167mm 180mm
170mm
◼ High-sensitivity and rapid measurement
(within20 min.) provided by use of HISCL,
an automated immunoassay system,
reagents
◼ Compact unit allowing clinical installation
◼ Equipped with IoT function
◼ Simple to operate with smart phones or
other IT devices
Cartridge reagentsφ120mm t1.2mm
・All reagents pre-sealed
・No effluent
18
Operating Principle
Movie of Compact Immunoassay
19
Analytical Performance (TSH)
Measurement range
Lower limit Upper limit
μIU/mL 0.02 100~
Correlation
TSH: Thyroid stimulating hormone
Confirmed that its performance is almost the same as HISCL
Reagent cartridge
20
Start Consideration for Coronavirus Testing
Compact immunoassay system
HISCL
On-site testing (at clinics, etc.)
COVID-19 Ag Test
• Easy and rapid
• Lower price than PCR
For clinical laboratories and
testing institutionsCOVID-19 IgM Ab Test
COVID-19 IgG Ab Test
COVID-19 Ag Test
• Antigen / antibody test
(test the infection of patients who have
few virus in their specimen)
• Capable of processing a large
number of samples
Nasopharyngeal
specimen, etc.
Blood
Blood
Nasopharyngeal
specimen, etc.
Mamoru Kubota Senior Executive Officer
3Initiatives for the Realization of Personalized Medicine I
(1) Overview of Cancer Gene Testing in the LS Business
(2) Liquid Biopsy Gene Testing Initiatives
(3) Cancer Genomic Medicine Initiatives
Overview of Cancer Gene Testing in the LS Business
(1) OSNA method (molecular detection of metastases in lymph nodes)Breast cancer, colorectal cancer, gastric cancer, lung cancer: Covered by insurance
(2) CurebestTM 95GC Breast / 55GC Colon (recurrence risk tests)Gene expression analysis in primary tumor for breast cancer and colorectal cancer: LDT/not covered by insurance
(3) OncoPrime, MSK-IMPACT (clinical sequence testing)Genome profiling of solid tumors: LDT/not covered by insurance
(4) OncoBEAM RAS CRC kit (liquid biopsy CDx)Determine suitability of anti-EGFR antibody drugs for colorectal cancer: Approved by
the Ministry of Health, Labor and Welfare, insurance coverage expected within 2020
(5) PSS/NGS (liquid biopsy gene panel test)Panel ctDNA profiling for breast cancer and colorectal cancer: LDT/not covered by insurance
(6) OncoGuideTM NCC Oncopanel system (cancer gene testing)
Solid tumor genome profiling: Covered by insurance
Surgical treatment, radiation therapy, pre- or post-operative drug therapy
Standard drug therapy(conventional anti-cancer drugs, hormone
therapy, molecularly targeted drugs, immune checkpoint inhibitor drugs)
Tu
mo
r lo
ad
Recurrence,
Metastasis
Resistance to
treatment
New drug therapy(treatment not covered by
insurance, administration of investigational new drugs)
22
3Initiatives for the Realization of Personalized Medicine I
(1) Overview of Cancer Gene Testing in the LS Business
(2) Liquid Biopsy Gene Testing Initiatives
(3) Cancer Genomic Medicine Initiatives
24
Liquid Biopsy Gene Testing Initiatives
OncoBEAM RAS CRC kit
First companion diagnostic drug in the world to receive approval for ctDNA testing using the digital PCR method (July 19, 2019)
Detection of RAS (KRAS and NRAS) gene mutations in genomic DNA extracted from blood plasma <used to help determine suitability of Cetuximab (genetic recombinant) and Panitumumab (genetic
recombinant) for patients with colorectal cancer>
NRAS
• Codon 12
• Codon 13
• Codon 59
• Codon 61
• Codon 117
• Codon 146
KRAS
• Codon 12
• Codon 13
• Codon 59
• Codon 61
• Codon 117
• Codon 146
Configuration of a lab assay system
at the lab of SRL, Inc.
(introduction of the BEAMing 3.0 system)November 2019
Application for insurance coverage
July 2020
Expected start of insurance coverage
April 2020
Expected start of assessment
N=280 86.1%(89.2%**)
25
OncoBEAM RAS
blood plasma sample
RASKET
tissue sample
OncoBEAM RAS
tissue sample
NGS
blood plasma sample
N=294 93.9 %*
N=100 96.0 %*
British Journal of Cancer volume 120, pages982–986(2019)
Data 1
0 10 20 300
20
40
60
Discordance(N=11)Concordance(N=20)
Numberoflesionsinlung
Maxim
umSizeoflesioninlung(mm)
Discordance(N=11)Concordance(N=20)
As false negatives are possible, as much as
tissue tests were considered for patients with
lung metastasis only.
Analysis of cases of lung metastasis only
ESMO WCGC2018Oral presentation by Dr.
Yoshinori Kagawa, Department
of Gastroenterological Surgery,
Kansai Rosai Hospital
*Concordance rate
**Excluding cases of lung metastasis only
Number of lesions in lung
Base
line lo
ng
est d
iam
ete
r o
f lu
ng
lesio
n (
mm
)
Clinical Performance of OncoBEAM RAS CRC kit
Concordance (N=20)Discordance (N=11)
26
Clinical Utility of OncoBEAM RAS CRC kit
Retrospective study indicates a positive
prognosis (PFS and OS) for the patient
group with wild-type RAS genes in blood
plasma before administration of anti-EGFR
antibody drugs.
Sunakawa Y, et al. ESMO-GI 2019.
RAS gene
mutation test
Tumor tissue
Plasma
T0 T1 T2
Patients with advanced or recurrent
colorectal cancer
RAS gene
mutation test
Market
scale
Cancer Incidence in Japan*, Ministry of Health, Labour and Welfare (January 1 to
December 31, 2016) *Excluding intraepithelial cancer
“Cancer Statistics ’18,” Foundation for Promotion of Cancer Research (2018)
Number of patients in Japan with colorectal cancer: 158,127 pts/year
Number of RAS gene mutation tests: 25,546 test/year
Therapy selection
Wild-type
Mutant
Anti-EGFR antibody
therapy
Chemotherapy
Wild-type
Recurrent
Decision to repeat administration
of therapeutic drugs
Mutant
Overall survival rateProgression-free
survival rate
3Initiatives for the Realization of Personalized Medicine I
(1) Overview of Cancer Gene Testing in the LS Business
(2) Liquid Biopsy Gene Testing Initiatives
(3) Cancer Genomic Medicine Initiatives
28
Cancer Genomic Medicine Initiatives
OncoGuide
NCC
Oncopanel
Increase target genes,
reduce costs• Addition of new clinical items
• Expansion of application before
using standard treatments
Analysis services
• GIMS (Genome Info. System)
• Quality assurance service
Genetic testing lab
total solution
(on-site business)
Expand portfolio
• Establishment and operational
support
• Analysis support
• Hereditary disease gene panel
• PSS/NGS liquid biopsy
29
OncoGuide NCC Oncopanel
Patie
nt e
xpla
natio
n
(exam
inatio
n)
Sam
ple
subm
issio
n
Conduct p
anel te
st
Expert P
ane
l
Report p
repara
tion
Patie
nt e
xpla
natio
n
(resu
lt)
Tre
atm
en
t
8,000 points 48,000 pointsC-CAT
June 1, 2019
Insurance coverage of cancer genome profiling using OncoGuid NCC Oncopanel (56,000 points)
Name: OncoGuid NCC Oncopanel System
OncoGuid NCC Oncopanel analysis program
OncoGuid NCC Oncopanel kit
Application: Obtaining a comprehensive genomic profile of tumor tissue in
patients with solid tumors
Target market: Japan
Target institutions: Medical institutions that have in place diagnostic systems
appropriate for cancer genome profiling
Medical equipment
production sales
authorization number:
23000BZX00398000
(approved as a combination medical device)
Target patients
Patients with solid tumors for which:
(1) No standard treatment exists
(2) Standard treatment has been
concluded
(or is expected to conclude)
Medical institution
Medical institution
Core hospital for cancer genomic medicine
30
Clinical Implementation of OncoGuide NCC Oncopanel
AGAAGCACCTGGAGAACTCATG.
....
TGCACACATTGACTTACCCACT.
....
AAGCAAAAATCCAGCCCATCAC.
....
CTTGGAAAAGGACTGCACTTGG.
....
CCTGGTGGTCTGGAAGATCTTC.
....
GCACCAGGAGGGACTTAGTTTA.
....
Open up the road to the use of therapeutic drugs not
covered by insurance and participation in clinical trials
Establish a flow of cooperation connecting affiliated institutions to conduct cancer gene testing
Core hospitals
(11)
Hub hospitals
(34)
Liaison hospitals
(161)
Note: As of January 1, 2020
Clinical testing company
Center for Cancer Genomics and Advanced Therapeutics
(C-CAT)
Expert Panel
C-CAT portal
31
Contribution of ICT Technologies: OncoGuide Portal
Core hospitals,
hub hospitals
Expert Panel
OncoGuide Portal
vIPsec-VPN IPsec-VPN
Clinical
information
Clinical trial
information
System for sharing the
results of analysis
Sa
mp
le
info
rmatio
n
IPsec-VPN
All information can be confirmed
on C-CAT’s PCs
Creation of a system compliant with the security measures outlined in the Three Guidelines from Three Ministries
C-CAT Cancer Genome Testing Portal
C-CAT entry tool
Upload CDx analysis results
Test panel portal
Select the function you require.
Cancer Knowledge Database
(CKDB)
Cancer genome information
repository (genomic
information/clinical data)
C-CAT PC
Clinical Laboratory
Center
(Contractor)(genome analysis)
Ge
no
me
info
rmatio
n
An
aly
sis
in
form
atio
n
CKDB: Cancer Knowledge Data Base
32
Contribution Using ICT Technologies: GIMS
Arranging
schedules
Sharing
analysis
results
Sharing
patient
information
Expert Panel
Arranging schedules
Sharing
analysis results
Sharing
patient
information
Expert Panel
Genome Information System (GIMS)
➢ Expert Panel support systemConnects with OncoGuide Portal and provides support for advance preparations
• Simplifies the arrangement of schedules• Analysis and patient information can all be shared on this
system
Leveraging IT/AI and contributing to the standardization of cancer gene testing
Issues with Expert Panel• Needed to reduce the amount of time and effort needed to
arrange schedules among multiple institutions and participants
• Sharing information across multiple systems was complicated and complex
Expert Panel support system results
Before introduction
(Approx. 13 hours/week)
After introduction
(Approx. 4.5 hours/week)
Savings of
approx. 8.5
hours/weekA
dva
nce
pre
pa
ratio
ns
On
the
da
y
Expert Panel Support Provided by GIMS
33
Core hospitals, hub hospitals
Liaison hospitals
Core hospitals, hub hospitals
Prepare framework
Register information on
cases, test reports
(communicate with portal) Reserve expert panel
Approve reservation Panel fixed
Note: Images are all provisional
Trial underway at hospital affiliated
with Kyoto University
34
Comments about GIMS
GIMS has essentially eliminated the labor required to arrange schedules and confirm materials
for Expert Panel. Once schedules have been set, the system also automatically sends out
information to all the people involved at related institutions. The system has significantly
reduced the amount of work needed for arranging and holding Expert Panel.
The system is convenient, as it allows information to be checked easily and facilitates the
advance review of case data scheduled for review. The system provides solid peace of mind,
because information security is maintained whether viewing information from inside or outside
the hospital. We can browse information easily and quickly.
In the past, arranging for expert panels involved security issues and the efforts of two or
three people. Now, all the doctors (including those from other departments) have
accounts, so each one can manage the cases for which he is responsible.
In addition to reducing the burden on those of us who handle arrangements, I am
impressed that the system is covered under health insurance and can be managed
directly by doctors as part of their everyday operations.
Kumi Mukai, Specialist/Clinical Laboratory Technologist, Department of Therapeutic
Oncology, Graduate School of Medicine and Faculty of Medicine, Kyoto University
Masashi Kanai, Program-Specific Associate Professor, Department of Therapeutic
Oncology, Graduate School of Medicine and Faculty of Medicine, Kyoto University
Handling the data for cancer gene panel testing is very cumbersome. In the past, we had to
transfer data and reports manually, which presents the risk of mishandling. Now data can be
shared between OncoGuide Portal and the Expert Panel support system, allowing reports to be
checked, which significantly reduces the load on us.
Manabu Muto, M.D., Ph.D., Professor, Department of Therapeutic Oncology,
Graduate School of Medicine and Faculty of Medicine, Kyoto University
35
Development of Gene Panels for Hereditary Diseases
Aiming to create a gene panel for hereditary diseases (IVD/CDx)
Gene therapy:
Providing treatment to normalize the disease-causing genes resulting from gene
mutations (hereditary diseases)
Drug (company) Target disease Transgene Regions of approval:
Price
Glybera
(UniQure)
Lipoprotein lipase
deficiency
Lipoprotein lipase Europe: €820,000/pt
(sales discontinued)
Imlygic
(Amgen)
Malignant melanoma GM-CSF US: $65,000/pt
Europe: unknown
Strimvelis
(Orchard Therapeutics)
Adenosine deaminase
deficiency
Adenosine deaminase Europe: €594,000/pt
Zalmoxis
(MolMed)
Graft-versus-host
disease
HSV-TK Mut2 Europe: €149,000/time
Kymriah
(Novartis)
Acute lymphoblastic
leukemia
CD19-directed CAR
molecule
US: $475,000/time
Europe: €360,000/time
Japan: ¥33,490,000/time
Yescarta
(Kite Pharma)
Large B-cell
lymphoma
CD19-directed CAR
molecule
US: $373,000/time
Europe: unknown
Luxturna
(Spark Therapeutics)
Retinal dystrophy RPE65 US: $425,000/eye
Europe: €345,000/eye
Zolgensma
(AveXis)
Spinal muscular
atrophy
SMN1 US: $2,125,000/time
Japan: under review
Key gene therapy drugs that have recently been approved
Reference: Drug Delivery System 34-2, 2019. The price is according our research.
Cancer
Oncolytic
virus
Nucleic acid
medicine, adeno-
associated virus
(AAV)
CAR-TiPSCs,
hPSCs
Non-cells
Cells
Non-cancer
CAR-T: Chimeric Antigen Receptor-T cell、iPSCs: Artificial pluripotent stem cells、hPSCs: Human pluripotent stem cells
36
Development of Genomic Medicine for IRD
・ First institution in Japan specialized in ophthalmology
・ Actively conduct clinical researches and genetic counselings
・ Development of cancer genome profiling system
・ Experience in obtaining regulatory approval and insurance coverage 36
Comprehensive collaboration with the Kobe Eye Center Hospital
(March 5, 2020 release)
Inherited Retinal Disease(IRD)
➢ Hereditary diseases characterized by abnormalities of abnormalities
in the photoreceptor cells or epithelial cells that adhere to the retina.
➢ No fundamental treatment method exists, but gene therapy drugs
have been approved in the United States and Europe.
➢ At least 40 types of underlying genes exist. Not every genes are
clear yet.
Testing is needed to elucidate the underlying gene in order
to select the optimal method of treatment
IRD patients
NGS panel testing
Provide therapy optimized for
each underlying gene
・ Development of rare disease arrays・ Development of the NGS panel system
・ Gene analysis expertise・ Quality-assured consignment system
Aim to develop NGS panel testing (identification of the disease-causing genes) by
leveraging specialized skills at the Kobe Eye Center Hospital and the Sysmex
Group’s technologies and experience
IRD:Inherited Retinal Degeneration Dystrophy/Disease/Disorder
Tomokazu Yoshida
Executive Officer
Executive Vice President of Central Research Laboratories
4Initiatives for the Realization of Personalized Medicine II
(1) Initiatives Targeting Alzheimer’s Disease
(2) Applying Circulating Tumor Cells(CTC)Measurement
Technology
Liquid Biopsy (Alzheimer’s Disease)
38
Normal cognitive
function
Brain atrophy
(irreversible)
Deterioration of daily life functions, such as
memory impairment, leading to wandering about,
aggressive behavior and delusions
Early-stage detection and pre-emptive medical attention at the mild cognitive
impairment stage of Alzheimer’s disease are important.
Progression of Alzheimer’s disease
Aβ accumulation
Nerve damage due to tau
Brain atrophy
Memory impaired
Deterioration of
daily life functions
A quantitative, standardized system for
diagnosis is needed.
Mild cognitive impairment (MCI)
Dementia
Adapted from Lancet Neurol 2010; 9:119-128
Preclinical period
(normal cognitive function)
MCI Dementia
Normal
Abnormal
Cha
nge
of b
iom
ark
ers
No clear standards currently exist for diagnosing MCI.
Liquid Biopsy (Alzheimer’s Disease)
Clinical trial
discontinued
Clinical trial
underway
Drugs targeting amyloid β are being developed to curtail disease-base deterioration
at an earlier stage.
39
Aducanumab
(Applying to FDA)Solanezumab
(Phase III)
Gantenerumab
(Phase III)
BAN2401
(Phase III)
Anavex 2-73
(Phase II/III)CAD106
(Phase II/III)
Crenezumab
(Phase II)Crenezumab
(Phase II)
Application
for approval
submitted
Normal Pre-symptomatic Alzheimer’s diseaseMCI
Alzheimers Dement (N Y). 2019; 5: 272–293.
Sources: Revised and adapted by Sysmex based on information from ClinicalTrials.gov, individual
companies’ press releases, and materials from a 2017 Eisai information meeting
40
Medical interview
(evaluation of cognitive function)
Diagnosis by exclusion
Symptomatic
treatment
Confirmed diagnosis
(post-mortem brain pathology)
Not objective or
quantitative
Cost-prohibitive, require
special facilities
Invasive, inadequacy of
testing items
Liquid Biopsy (Alzheimer’s Disease)
The realization of blood tests for Alzheimer’s disease will help provide new
therapeutic opportunities.
Distinguishing Alzheimer’s
Disease
CDx
Blood tests
MCI early-
stage
diagnosis
(screening)
MCI
Dementia
Vascular, Lewy bodies Alzheimer’s disease Differentiation of
biomarkers an issue
Symptomatic
treatment
Imaging (MRI/CT, PET, etc.),
spinal fluid tests
×
×
×
×
・Simple (easy to
standardize)
・Quantitative
・Minimally invasive
・Multi-marker (therapeutic
target molecules, etc.)
41
Liquid Biopsy (Alzheimer’s Disease)
Elements required for realization of blood tests
HISCL
Sysmex’s initiatives
1. Creation of a highly sensitive measurement system using HISCL
2. Verification of specificity of captured molecules (amyloid β)
3. Verification of concordance with PET test results (accumulation of
amyloid β in the brain)
4. Verification of results of markers related to Alzheimer’s disease other
than amyloid β
1. Highly sensitive measurement: Because target markers are present in the blood in
minute quantities
2. Highly specific measurement: To reduce the impact of blood-based similar molecules
and impurities
3. Scientific basis: Consistency of changes between marker behavior and brain imaging
4. Medical basis: Relationships between marker behavior and status of cognitive function
42
Liquid Biopsy (Alzheimer’s Disease)
Measurement with HISCL enables highly sensitive and accurate detection of target
amyloid β.
Aβ1-40 Aβ1-42
Dynamic range [pg/mL] 8.6 – 975 0.7 – 895
Reproducibility CVs [%] 2 - 5 2 – 6
The accurate detection of amyloid β (Aβ40,
Aβ42) in the blood reportedly enables
prediction of the status of amyloid β
accumulation in the brain.Mass spectrometry
0
5
10
15
20
25
30
0 10 20 30
HIS
CL [
unit]
IP-MS [unit]
Mass
Sig
na
l str
en
gth
Aβ40, 42, other similar molecules
Conventional antibody combination
MassSig
na
l str
en
gth
Aβ42
New antibody combination
From a CTAD2019 poster
0
100
200
300
400
0 100 200 300 400
HIS
CL [
pg/m
L]
IP-MS [pg/mL]
Aβ1-40 in blood plasma
0
10
20
30
40
0 10 20 30 40
HIS
CLT
M s
eries [pg/m
L]
IP-MS [pg/mL]
Aβ1-42in blood plasma
r = 0.95 r = 0.92
Results of positive PET predictions in clinical subjects (n= approx. 200 cases) in amyloid PET diagnosis
CTAD2019 ポスターより
Liquid Biopsy (Alzheimer’s Disease)
A high degree of concordance has been determine with amyloid PET
(status of amyloid β accumulation in the brain)
Background of subjects
(n=192)
Average age (standard
deviation)73.3 years (6.28)
Race: Caucasian / other 92.7% / 7.3%
Gender: Male / female 51.0% / 49.0%
APOE4: - / + 57.3% / 42.2%
MCI due to Alzheimer’s
disease84.9%
Early stage of mild
Alzheimer’s disease10.4%
Amyloid positivity in patients with clinical cognitive
dysfunction in clinical trials
Model1 = Aβ1-42/Aβ1-40, Model2 = Model1 + age + ApoE4
Model3 = Aβ1-42 + Aβ1-40, Model4 = Model3 + age + ApoE4
Model1 (AUC 0.74)
Model2 (AUC 0.82)
Model3 (AUC 0.74)
Model4 (AUC 0.81)
1-Specificity
Se
nsitiv
ity
0.00
0.00 1.000.750.500.25
1.00
0.75
0.50
0.25
Negative: Cognitive dysfunction without amyloid β accumulation in
the brain
Positive: MCI, mild AD with amyloid β accumulation in the brain
Sensitivity: 73%
Specificity: 71%
Note: When using cutoffs based on Youden Index in Model 1,43
◆Prediction performance of amyloid β accumulation
in the brain by IP-MS (Comparison with PET using
flutemetamol)
Sensitivity: 78.7% / specificity: 82.4%(From Nature. 2018 Feb 8; 554(7691): 249-254)
Stage of cognitive impairment
Bio
ma
rke
r p
rofile
A T N NormalMild cognitive
impairmentDementia
- - - Normal Non AD
+ - - AD cognitive
impairment
+ - + AD and Non AD
+ + -Pre-symptomatic
ADProdromal AD AD
+ + +
44
Liquid Biopsy (Alzheimer’s Disease)
Creation of an HISCL measurement system for parameters other than amyloid β
(total tau, phosphorylated tau)
Around the world, efforts are underway to classify the stages of
cognitive impairment by using ATN.(Research framework from the National Institute on Aging and the
Alzheimer’s Association)
Nerve cell death
Amyloid β
Tau
Adapted from Alzheimer’s Dementia. 2018 Apr; 14(4): 535-562
A: Amyloid β, T: Tau protein, N: Neurodegeneration / nerve damage
Blood: Subject measurement
results (n=9)
CN AD
t-ta
u [u
nit/m
l]
0
10
20
30
40
50
CN AD
p-t
au
[u
nit/m
l]
0
5
10
15
Total tau
Phosphorylated
tau
4Initiatives for the Realization of Personalized Medicine II
(1) Initiatives Targeting Alzheimer’s Disease
(2) Applying Circulating Tumor Cells(CTC)Measurement
Technology
Liquid Biopsy (CTCs)
46
Circulating tumor cells (CTCs), in combination with genetic information, have the
potential to facilitate optimized treatment.
Body Tissues or cellsCirculating tumor cells
(CTCs)
Circulating tumor DNA
(ctDNA)
Testing method MRI, CT, PETImmunostaining, FISH
NGS (cancer genome)CTC measurement system
High-sensitivity PCR
NGS
Invasiveness None High (surgery, biopsy) Low (only blood sampling via liquid biopsy)
Main
measurement
targets,
characteristics
Location, size Shape / gene / proteinDetailed analysis of protein
expression within a single cell
Simultaneous
measurement of multiple
genetic mutations
Originating tissue Can be identified Difficult to identify
Information
obtainedWhole body Localized Whole body
Impact on
treatment
Screening, severity,
monitoring of treatment
effects
Confirmed diagnosis,
severity, selection of
therapeutic drugs
Selection of drugs to target
expressed proteins
Selection of drugs to
gene mutations
Primary
tumor
Metastasized
tumor
Liquid Biopsy (CTCs)
We have finished building a system and plan to begin offering a lab assay service in
Japan and Singapore.
Biological and
medical verificationClinical verification
Lab Assay Services
for Research
Customer verification of clinical utility
Development of image analysis
methods leveraging data
Collaborative
research
MI-FCM CTC softwareReagent (CTC panel)Cell separation and concentration unit
・ Obtain pathological data on CTCs
・ Analyze single cells
・ Monitoring of treatment effects / consideration
of potential for treatment of metastatic tumors
Colo-rectal cancer
Lung
cancer
Prostate
cancer
Breast
cancer
Creation of clinical value with
a view to development for IVD
47
48
Liquid Biopsy (CTCs)
It is suggested that CTCs could be used to track changes in the expression status
of the molecules a drug targets.
Pathology results
Molecule X expression: Yes
Molecule Y expression: No
Treatment with drugs that
target X
0
100
200
Images of detected CTCs
Going forward, we plan to consider the clinical utility of
drug selection based on CTC information.
Potential for changing
the treatment by
changing the drug used
for treatment
Patient with untreated
stage 4 breast cancer
At initial diagnosis
During treatment
CT
Cs /5
mL
Bright field NuclearMolecule X Molecule Y
Bright field NuclearMolecule X Molecule Y
Hiroshi KandaMember of the Managing Board and Senior Executive Officer
Managing Director
5Technology Innovation in the IVD Business
(1) Enhancing the Operational Value of Blood Coagulation
Analyzers
(2) Applying Astrego’s Microchannel Technology
(3) Using AI Technology for Blood Imaging Analysis
50
CN Series (Launched in Japan in December 2018)
CN-6000/CN-3000 automated blood
coagulation analyzers
New CN Series meets the call
for further advances in
in vitro diagnostics
High-speed processing
Space-saving
Transport-compatible
Network support
Developed by installing new engineering technologies
51
Up 12.5%
Up 11.9%
Up 16.6%
Up 66.7%
(1)
(2)
(3)
(4)
Order pattern (ratio of sample numbers)
(1) Coagulation principle, single parameter PT
(2) Coagulation principle, multiple parameters PT(10)+APTT(10)+Fbg(10)
(3) Coagulation, turbidimetric immunoassay and
chromogenic substrate principles, multiple parametersPT(10)+APTT(8)+Fbg(5)+AT(2)+DD(3)+FDP(3)
(4) Coagulation, turbidimetric immunoassay and
chromogenic substrate principles, multiple parametersPT(10)+APTT(10)+Fbg(10)+AT(10)+DD(10)+FDP(10)
Achieves high-speed processing when measuring multiple parameters
CN-6000
CS-5100
CN Series (Launched in Japan in December 2018)
test/hour
52
Technologies Incorporated into the CN Series
Inside the pipette
Using high-pressure cleaning to shorten cleaning time
Report results
End point
Tra
nsm
itte
dlig
ht
inte
nsity
Detection time180 seconds (fixed)
8 second cycle
Analyze
End point
CS Series CN Series
Analyze Report results
Faster reporting due to an improved analysis algorithm
Generates turbulence for
better cleaning
Cleaning liquid forced out at
high speed
High-pressure
cleaning system
PipetteMetering syringe
ChamberHigh-pressurecleaning syringe
Electromechanical valve Backflow prevention valve
53
Life of maintenance-free light source: Five years or more
Multi-wavelength
detection method
Note: The halogen lamp on the CS
needed to be changed periodically,
having a life of 1,000 hours (less
than three months if operated 24
hours a day)
Shape of the needle tip
changed to an obtuse angle
Tripled the durability (to 120,000 piercings) and reduced
the dead volume when blood cells are layered
Enhanced durability and usability
CS Series CN Series
LED unit that takes over the
multi-wavelength function
Technologies Incorporated into the CN Series
Receiver
element
Halogen lamp
Optical fiber
Interference filter
54
Environmental Considerations in the CN Series (Compared with the CS-5100)
1. More compact and space saving
Volume reduced by approx. 50%
2. Power consumption
1,700VA→1,080VA
Reduced by approx. 36% due to improved Pelteir
element for cooling reagent
3. Transport efficiency
Weight: 420kg→370kg 12% CO2 reduction effect
Dimensional weight*: 516.6kg→376.5kg 27% reduction
*Dimensional weight (kg)
= Depth (cm) x width (cm) x height (cm) ÷ 6,000 (cm3/kg) container box size
Initiatives contribute to SDGs
50%
CS-5100 CN-6000/3000
5Technology Innovation in the IVD Business
(1) Enhancing the Operational Value of Blood Coagulation
Analyzers
(2) Applying Astrego’s Microchannel Technology
(3) Using AI Technology for Blood Imaging Analysis
Environment Surrounding Urinary Tract Infections
56
◼ Currently, infectious diseases still account for around 1/4 of deaths around the world. Malaria, tuberculosis, AIDS and
enteral infections are major problems in developing countries, and present urgent issues for multidisciplinary studies
(such as health and development studies) as well as infectious disease studies.
◼ In developed countries, in addition to emerging and re-emergent infectious diseases the spread of bacteria with
antimicrobial resistance is becoming a public health issue. Developments in advanced medical care and a growing
elderly population are leading to an increase in opportunistic infections among postoperative patients and patients in an
immunosuppressive state. Thus routine infectious disease are also becoming an issue.
◼ A number of people are affected by infectious respiratory-tract diseases, such as those of the upper respiratory tract, as
well as bladder infections and other urinary tract infections. This situation is emphasizing the importance of proper early-
stage diagnosis and treatment, including the proper use of antimicrobial drugs.
Source: Antimicrobial Resistance:
Tackling a crisis for health and wealth
of nations, the O’Neill Commission,
UK, December 2014
In 2015, the World Health Assembly endorsed the Global Action Plan on Antimicrobial
Resistance (AMR). Various countries are pursuing AMR countermeasures, and progress is
being reported by the WHO.
Cancer
Cholera
Diabetes
Traffic
accidents
Diarrheal
disease
Measles
Tetanus
(without any countermeasures)
◼ The process of obtaining test results needed for the appropriate diagnosis and treatment of infectious
disease involves cultivating bacteria and running identification and drug sensitivity tests. Currently,
results are reported in one–two days for hospitalized patients and more than four days for patients
handled by private practices. This situation does not contribute to the proper use of antimicrobial drugs
at the initial stage.
◼ When cultivated in Petri dishes, bacteria grow in all directions, forming colonies, and the process
generally takes 24 hours or more. Astrego’s technology involves growing bacterial in one direction
within microchannels. This approach allows small changes in growth to be observed, facilitating rapid,
30-minute tests. This is expected to contribute to appropriate diagnosis and treatment at the initial stage.
Drug sensitivity test
(18–24 hours)
Bacteria iden-
tification test
(several minutes)
Bacteria cultivation
(24–48 hours)
57
Technology for the Rapid Cultivation of Bacteria in Liquid Using Microchannels
Identification
testing
system
Drug
sensitivity
tester
Prototype machine Prototype cartridgeExploded view of microchannel
Bacteria
Bacteria
58
◼ Multiple channel conditions (different drugs and densities) can be set, allowing changes in growth rate
under different conditions to be compared to the reference channels. This approach allows
measurement for resistance to multiple antibacterial drugs.
◼ Different from gene testing, “living bacteria” are used to reveal drug resistance, providing more accurate
drug sensitivity test results. (Dead bacteria that do not express resistance are outside the scope of
measurement.)
Applying Microchannel Technology to Drug Sensitivity Tests
Reference channels (culture liquid only)
Measured channels (with antibacterial drugs)
Reference growth rate
Leveling off of growth: drug sensitivity exists
5Technology Innovation in the IVD Business
(1) Enhancing the Operational Value of Blood Coagulation
Analyzers
(2) Applying Astrego’s Microchannel Technology
(3) Using AI Technology for Blood Imaging Analysis
Using AI Technology in Hematology
SP-50 slide
preparation unit
Pos
Neg
Pos
DI-60 blood image
analyzer
60Tests are needed that can reduce the burden on laboratory technologists and are not skill-dependent.
Cell counting /
abnormality detection
Hematology testing flow Assumes university hospital-class facility using SP-50/DI-60
Laboratory
Diagnostics
and treatment
Approx. 2 min./patient
Microscopic
examination by
expert
technologists
(visual)
30%-50%
of all samples
10%-15%
of all samples
Blood test
Report
Summarize information
used for diagnosis and
consultation by doctors
Preparation of sample comments
Disease prediction
Assumptions for additional testing
Caresphere™
LWS laboratory information system
XN Series multiparameter
automated hematology analyzer
Neg
Using AI Technology in Hematology
Pos
Neg
Neg
Pos
61
Potential to leverage AI
AI image
analysis
technology
Configuration of an automated system that performs
at least as well as expert laboratory technologists
Assumes university hospital-class facility using SP-50/DI-60
Laboratory
XN Series multiparameter
automated hematology analyzer
30%-50%
of all samples
SP-50 slide
preparation unit
DI-60 blood image
analyzer
10%-15%
of all samples
Cell counting /
abnormality detection
Several seconds/patient
Summarize information
used for diagnosis and
consultation by doctors
Preparation of sample comments
Disease prediction
Assumptions for additional testing
Blood test
Diagnostics
and treatment
Report
Caresphere™
LWS laboratory information system
62
Current initiatives and performance◼ Initiative
Extract and learn features of blood cell images using convolutional
neural networks
Cell images
digitalizedCell classification
Morphological
abnormalities
Training
dataset
Training
(1) Ability to differentiate images of blood cells
For all 19 cell types, differentiate to accuracy of 95% or higher
(2) Ability to detect cell abnormality
For 80% of abnormal cells, detect with an accuracy of 90% or higher
◼ Skills needed for AI image analysis and current performance
Using AI Technology in Hematology
Department of Next-Generation
Hematology Laboratory Medicine
AUC 0.990
63
◼ Challenging to realize the technology to distinguish disease using AI image analysis
New initiatives
Paper published in Scientific Reports(*4), a series by Nature, a
UK-based journal (Published September 16, 2019)
In cases of hematopoietic stem cell abnormalities, ability to distinguish(*1) between MDS(*2)
and AA(*3) reaching 90%
(*1) Sensitivity, specificity
(*2) Myelodysplastic syndrome
(*3) Aplastic anemia
(*4) Scientific Reports : Impact factor 4.011
https://www.nature.com/articles/s41598-019-49942-z
Increase the performance of AI image analysis technology, combine with
existing hematology technology, and achieve new technological advancesTransform into clinical value that helps support diagnosis
Using AI Technology in Hematology
AI image analysis technology
64
Future developments
Leading-edged technology to
elevate blood testing to the
next generation
Roll out a hematology digital platform as the
foundation of next-generation hematology testing technology
Using AI Technology in Hematology
Global standard in
blood testing
Shaping the advancement of healthcare.
GlossaryAppendix
66
GlossarySlide No.
4 Primary care The initial care provided at clinics or other locations when a patient first falls ill.
4 IVDAcronym for “in vitro diagnostics.” Refers to in vitro diagnostic pharmaceuticals and products that
have received regulatory approval.
5 Personalized medicineThis type of medicine goes beyond the conventional practice of providing selected predetermined
or uniform treatment for a given disease. Instead, the selection of treatment is optimized for
individual patient characteristics, based on gene and other testing data.
7 RAS One of the gene that is known to cause cancer when it mutates.
8 BEAMingAn acronym for “Bead, Emulsion, Amplification, and Magnetics,” this gene analysis method
combines ultrahigh-sensitivity PCR and flow cytometry technologies for analysis of genetic
mutations.
8 Liquid biopsy
This is a general name for technology using blood or body fluid samples for diagnosis and the
prediction of treatment impacts rather than through the conventional practice of tissue biopsy, in
which diagnosis is performed on diseased tissue that has been collected. Liquid biopsy is less
invasive than tissue biopsy, but more highly sensitive detection technologies are required.
8 CTCAcronym for “circulating tumor cell.” CTCs refer to cancer cells that have broken away from
primary or metastatic cancer sites and are circulating in the blood.
8 Urinary tract infectionsThe urinary tract runs between the kidneys and the urethral opening. Inflammations due to the
incursion of bacteria into the urinary tract are known as urinary tract infections. Such infections
can lead to bladder inflammation and pyelonephritis (inflammation of the kidneys).
8 Drug susceptibility testA test to determine the efficacy of various antimicrobial drugs against pathogenic bacteria
detected in a sample.
10 Technology platformRefers to Sysmex’s three technologies - gene measurement, cell measurement and protein
measurement - and the measurement platforms that utilize them.
10 Regenerative medicineThis type of medicine seeks to repair, regenerate and restore function of tissues and organs that
have been lost, injured or lost function due to disease or accident by using cells and tissues
cultivated outside a patient’s body.
10Preventive/preemptive
medicine
Preventive medicine uses gene testing and other types of testing to diagnose and prognosticate
diseases that are likely to occur, and seeks to prevent their occurrence. Preemptive medicine
follows the onset of symptoms and seeks to prevent disease from becoming more serious.
12 Application Corresponds to a “test item” in Sysmex’s technology platforms.
67
GlossarySlide No.
13 Plasma-Safe-SeqS (PSS)Acronym for “Plasma-Safe-Sequencing.” This pretreatment technology is used to discern between
gene mutations and read errors by attaching tags to genes to be amplified.
13 PCRAcronym for “polymerase chain reaction.” A gene amplification technology for copying small
quantities of DNA to produce larger quantities.
13 FISHAn abbreviation of Fluorescence In Situ Hybridization. The term refers to a testing method that
uses fluorescent probe that binds only to specific genes to detect target genes within a
chromosome.
14 LDTAcronym for “laboratory developed test.” LDTs, often testing methods that have not received
regulatory approval, include highly sophisticated and complex gene testing that can only be
performed in specific clinical testing labs.
15 GIMS Acronym for "Genome Information Management System."
22 CDxShort for “companion diagnostics.” Clinical testing performed to predict the efficacy and side
effects of drugs before using them for treatment.
22 NGSAcronym for “next-generation sequencer.” May also refer to a next-generation sequencer, an
instrument for reading gene base sequences at high speed.
22 ctDNACancer-derived DNA circulating in the blood. A focus of growing attention as a non-invasive
cancer biomarker for testing using liquid biopsy.
29 Expert panel
A multidisciplinary investigative commission that meets to interpret gene panel testing results
medically. Convened at core hospitals for cancer genomic medicine, expert panels recommend
treatment methods optimized for individual patients on the basis of abnormal gene information.
Members of such panels include oncologists, genome researchers, counselors, etc.
29
Center for Cancer
Genomics and Advanced
Therapeutics (C-CAT)
A new cancer genomic medicine base established by the National Cancer Center. It was created
to collect and store nationwide information regarding genomic medicine and to create
mechanisms that enable the discovery of new medical treatments via the appropriate utilization
and application of this information.
31Three Guidelines from
Three Ministries
Three guidelines established by three Japanese ministries (the Ministry of Health, Labour and
Welfare; the Ministry of Economy, Trade and Industry; and the Ministry of Internal Affairs and
Communications) for the handling of electronic medical information.
35 iPSCs, hPSCsiPSCs are induced pluripotent stem cells. hPSCs are human pluripotent stem cells. hPSCs include
human-derived embryonic stem cells and iPSs.
38 Amyloid-β (Aβ)A key constituent of senile plaque, a pathological characteristic of the brain tissue of patients with
Alzheimer’s disease, composed of around 40 amino acids.
68
GlossarySlide No.
38 TauA microtubule-associated protein that exists in central neuronal cells. Along with senile plaque,
inordinately phosphorylated deposits of tau protein (neurofibrillary tangle) can be observed in the
brains of patients with Alzheimer’s disease.
38 MCI Acronym for "mild cognitive impairment."
40 Lewy body dementiaA cognitive disease caused by the expression of clusters of proteins (called Lewy bodies) in nerve
cells in the brain.
56 Antimicrobial resistanceThis phenomenon occurs when living organisms develop a resistance to a drug, whose efficacy is
reduced or nullified as a result. Bacteria that
have developed microbial resistance are known as antimicrobial-resistant bacteria.
57 Identification testA test to determine the name of bacteria that are the source of an infectious disease detected in a
sample.
60 Blood smear samplePrepared for microscopy of blood cell morphology by placing a drop of blood on a glass slide, and
then drying and staining it.
60 CaresphereTM
Caresphere utilizes IoT and the cloud to establish a platform for the real-time linking and analysis
of a variety of information managed using testing instruments and clinical laboratory information
systems. It is a new network solution that provides support for increasing the operational efficiency
of professionals involved in testing and healthcare, enhancing quality and raising patient
satisfaction.
63 Hematopoietic stem cells Cells that produce red blood cells, white blood cells and blood platelets in the bone marrow.
64 Digital platformNew platforms for business that are based on digital technology. Within the healthcare market,
this term refers to IoT platforms that support healthy lives and enable seamless care in terms of
prevention, diagnosis, treatment and home care.